Manager, Data Science Engineering
London
Stripe
Stripe powers online and in-person payment processing and financial solutions for businesses of all sizes. Accept payments, send payouts, and automate financial processes with a suite of APIs and no-code tools.Manager, Data Science Engineering
Build the foundations for understanding Stripe data.
Stripe is the best software platform for running an internet business. We handle billions of dollars every year for hundreds of thousands of businesses around the world.
With all this data, the Data Science Foundation team is looking for an experienced manager to help us grow the team to build analytical data models and tools. If you have experience building and scaling data-warehouses, improving instrumentation and data quality, and are interested in developing a highly impactful team, we want to hear from you.
We’re looking for people with a strong background in data engineering to guide the vision for data schemas, tooling, and pipelines at Stripe. The team's work will provide Stripe with visibility into how products are being used and how we can better serve our customers.
We’re looking for someone who has:
- Experience in managing and building data engineering teams
- Experience in building Growth, Marketing or Sales Data Warehouse
- Built APIs, products, and complex data systems at scale
- A computer science, math, or science degree or software engineering experience
You may be a fit if:
- You have experience building software products from kick-off to ship
- You have strong written and verbal communication skills with a talent for precise articulations of end-users problems
- Beyond just shipping new products, you obsess about continuous product improvement and can optimize for shipping a portfolio of small, medium and large releases
You will:
- Grow a team of data engineers to continue to scale our data pipelines and tools, drive the collection of new data and the refinement of existing data sources, and improve our data model and instrumentation as the Stripe product evolves
- Build relationships with engineering teams, product managers, and data scientists to generalize data needs and guide the roadmaps of our internal platforms
- Mentor and grow your team across technical architecture, partnership with stakeholders, project management, and a strong internal product sense
- Help identify and build shared libraries and resources for Data Science work such as, forecasting tooling, anomaly detection at scale, and support for different machine learning approaches
Some things you might work on:
- Design and build client libraries and frameworks to log events from our Marketing websites
- Build data foundations - infrastructure, tools and pipelines to enable Marketing and Sales teams at Stripe
- Build Customer Data Platform by collecting, curating, mastering, enriching, and presenting a single view (or a golden record) of our users to business applications and other Stripe product teams
- Develop unified user data schemas and tables that provide a complete view of the business across our various products such as Stripe Connect, Capital, Billing, etc
- Build data pipelines that track our adoption, revenue and attributions
- Work on our centralized experimentation platform to pipeline experiment metrics and compute key statistics
- Our stack spans tools in Spark, Scala, Python, Spark, Java and SQL
Tags: APIs Computer Science Data pipelines Engineering Machine Learning Pipelines Python Scala Spark SQL Statistics
Perks/benefits: Career development Team events
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Lead Data Analyst jobs
- Open MLOps Engineer jobs
- Open AI Engineer jobs
- Open Sr Data Engineer jobs
- Open Senior Business Intelligence Analyst jobs
- Open Data Engineer II jobs
- Open Principal Data Engineer jobs
- Open Data Manager jobs
- Open Data Analytics Engineer jobs
- Open Power BI Developer jobs
- Open Junior Data Scientist jobs
- Open Senior Data Architect jobs
- Open Product Data Analyst jobs
- Open Data Scientist II jobs
- Open Business Intelligence Developer jobs
- Open Sr. Data Scientist jobs
- Open Manager, Data Engineering jobs
- Open Big Data Engineer jobs
- Open Business Data Analyst jobs
- Open Data Quality Analyst jobs
- Open Principal Data Scientist jobs
- Open ETL Developer jobs
- Open Data Analyst Intern jobs
- Open Junior Data Engineer jobs
- Open Research Scientist jobs
- Open Data quality-related jobs
- Open Business Intelligence-related jobs
- Open ML models-related jobs
- Open GCP-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open Java-related jobs
- Open Finance-related jobs
- Open Data visualization-related jobs
- Open APIs-related jobs
- Open Deep Learning-related jobs
- Open PyTorch-related jobs
- Open Consulting-related jobs
- Open TensorFlow-related jobs
- Open Snowflake-related jobs
- Open PhD-related jobs
- Open NLP-related jobs
- Open CI/CD-related jobs
- Open Kubernetes-related jobs
- Open Data governance-related jobs
- Open Airflow-related jobs
- Open Databricks-related jobs
- Open Hadoop-related jobs
- Open LLMs-related jobs
- Open Data warehouse-related jobs